The diagnostic capability of i-scan for early gastric cancer detection: a systematic review and meta-analysis.

Abstract

Background: I-scan is an image enhancing technology that utilizes contrast, surface, and tone enhancement to examine the microvascular and microsurface structures of mucosa. Its ability to diagnosis GC is of growing interest due to its ability to make an optical diagnosis; however, only a handful of studies have explored its role in this setting. We aimed to investigate the diagnostic capability of i-scan for GC detection.

Methods: Multiple databases were searched for studies utilizing i-scan for GC detection until February 2024. Primary outcomes included the pooled sensitivity, specificity, and accuracy.

Results: Seven studies were included (371 patients, 220 GC lesions). The pooled sensitivity was 84% (four studies, 95% CI: 0.65; 0.93), specificity was 83% (three studies, 95% CI: 0.68; 0.92) and accuracy was 84% studies (N.=3, 95% CI: 0.69; 0.93).

Conclusions: I-scan appears to be an effective diagnostic tool for GC. However, the functional capabilities related to brightness detection may limits use. Further prospective, comparative studies are needed to determine its role in clinical practice compared to white light endoscopy, narrow band imaging and chromoendoscopy.